mirror of
https://github.com/home-assistant/core.git
synced 2025-07-23 05:07:41 +00:00
Include data for entire periods in response to recorder/statistics_during_period (#92848)
* Include data for entire periods in response to recorder/statistics_during_period * Break out function for calculating the end of the month
This commit is contained in:
Erik Montnemery
GitHub
parent
67d5ca4894
commit
c1f716487c
@ -981,6 +981,14 @@ def _reduce_statistics_per_week(
|
||||
)
|
||||
|
||||
|
||||
def _find_month_end_time(timestamp: datetime) -> datetime:
|
||||
"""Return the end of the month (midnight at the first day of the next month)."""
|
||||
# We add 4 days to the end to make sure we are in the next month
|
||||
return (timestamp.replace(day=28) + timedelta(days=4)).replace(
|
||||
day=1, hour=0, minute=0, second=0, microsecond=0
|
||||
)
|
||||
|
||||
|
||||
def reduce_month_ts_factory() -> (
|
||||
tuple[
|
||||
Callable[[float, float], bool],
|
||||
@ -1007,10 +1015,7 @@ def reduce_month_ts_factory() -> (
|
||||
start_local = _local_from_timestamp(time).replace(
|
||||
day=1, hour=0, minute=0, second=0, microsecond=0
|
||||
)
|
||||
# We add 4 days to the end to make sure we are in the next month
|
||||
end_local = (start_local.replace(day=28) + timedelta(days=4)).replace(
|
||||
day=1, hour=0, minute=0, second=0, microsecond=0
|
||||
)
|
||||
end_local = _find_month_end_time(start_local)
|
||||
return (
|
||||
start_local.astimezone(dt_util.UTC).timestamp(),
|
||||
end_local.astimezone(dt_util.UTC).timestamp(),
|
||||
@ -1629,6 +1634,36 @@ def _statistics_during_period_with_session(
|
||||
if statistic_ids is not None:
|
||||
metadata_ids = _extract_metadata_and_discard_impossible_columns(metadata, types)
|
||||
|
||||
# Align start_time and end_time with the period
|
||||
if period == "day":
|
||||
start_time = dt_util.as_local(start_time).replace(
|
||||
hour=0, minute=0, second=0, microsecond=0
|
||||
)
|
||||
start_time = start_time.replace()
|
||||
if end_time is not None:
|
||||
end_local = dt_util.as_local(end_time)
|
||||
end_time = end_local.replace(
|
||||
hour=0, minute=0, second=0, microsecond=0
|
||||
) + timedelta(days=1)
|
||||
elif period == "week":
|
||||
start_local = dt_util.as_local(start_time)
|
||||
start_time = start_local.replace(
|
||||
hour=0, minute=0, second=0, microsecond=0
|
||||
) - timedelta(days=start_local.weekday())
|
||||
if end_time is not None:
|
||||
end_local = dt_util.as_local(end_time)
|
||||
end_time = (
|
||||
end_local.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
- timedelta(days=end_local.weekday())
|
||||
+ timedelta(days=7)
|
||||
)
|
||||
elif period == "month":
|
||||
start_time = dt_util.as_local(start_time).replace(
|
||||
day=1, hour=0, minute=0, second=0, microsecond=0
|
||||
)
|
||||
if end_time is not None:
|
||||
end_time = _find_month_end_time(dt_util.as_local(end_time))
|
||||
|
||||
table: type[Statistics | StatisticsShortTerm] = (
|
||||
Statistics if period != "5minute" else StatisticsShortTerm
|
||||
)
|
||||
|
||||
@ -961,7 +961,7 @@ def test_import_statistics_errors(
|
||||
|
||||
@pytest.mark.parametrize("timezone", ["America/Regina", "Europe/Vienna", "UTC"])
|
||||
@pytest.mark.freeze_time("2022-10-01 00:00:00+00:00")
|
||||
def test_daily_statistics(
|
||||
def test_daily_statistics_sum(
|
||||
hass_recorder: Callable[..., HomeAssistant],
|
||||
caplog: pytest.LogCaptureFixture,
|
||||
timezone,
|
||||
@ -979,6 +979,8 @@ def test_daily_statistics(
|
||||
period2 = dt_util.as_utc(dt_util.parse_datetime("2022-10-03 23:00:00"))
|
||||
period3 = dt_util.as_utc(dt_util.parse_datetime("2022-10-04 00:00:00"))
|
||||
period4 = dt_util.as_utc(dt_util.parse_datetime("2022-10-04 23:00:00"))
|
||||
period5 = dt_util.as_utc(dt_util.parse_datetime("2022-10-05 00:00:00"))
|
||||
period6 = dt_util.as_utc(dt_util.parse_datetime("2022-10-05 23:00:00"))
|
||||
|
||||
external_statistics = (
|
||||
{
|
||||
@ -1005,6 +1007,18 @@ def test_daily_statistics(
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
},
|
||||
{
|
||||
"start": period5,
|
||||
"last_reset": None,
|
||||
"state": 4,
|
||||
"sum": 6,
|
||||
},
|
||||
{
|
||||
"start": period6,
|
||||
"last_reset": None,
|
||||
"state": 5,
|
||||
"sum": 7,
|
||||
},
|
||||
)
|
||||
external_metadata = {
|
||||
"has_mean": False,
|
||||
@ -1024,6 +1038,8 @@ def test_daily_statistics(
|
||||
day1_end = dt_util.as_utc(dt_util.parse_datetime("2022-10-04 00:00:00"))
|
||||
day2_start = dt_util.as_utc(dt_util.parse_datetime("2022-10-04 00:00:00"))
|
||||
day2_end = dt_util.as_utc(dt_util.parse_datetime("2022-10-05 00:00:00"))
|
||||
day3_start = dt_util.as_utc(dt_util.parse_datetime("2022-10-05 00:00:00"))
|
||||
day3_end = dt_util.as_utc(dt_util.parse_datetime("2022-10-06 00:00:00"))
|
||||
expected_stats = {
|
||||
"test:total_energy_import": [
|
||||
{
|
||||
@ -1040,6 +1056,13 @@ def test_daily_statistics(
|
||||
"state": 3.0,
|
||||
"sum": 5.0,
|
||||
},
|
||||
{
|
||||
"start": day3_start.timestamp(),
|
||||
"end": day3_end.timestamp(),
|
||||
"last_reset": None,
|
||||
"state": 5.0,
|
||||
"sum": 7.0,
|
||||
},
|
||||
]
|
||||
}
|
||||
assert stats == expected_stats
|
||||
@ -1064,6 +1087,11 @@ def test_daily_statistics(
|
||||
"end": day2_end.timestamp(),
|
||||
"change": 2.0,
|
||||
},
|
||||
{
|
||||
"start": day3_start.timestamp(),
|
||||
"end": day3_end.timestamp(),
|
||||
"change": 2.0,
|
||||
},
|
||||
]
|
||||
}
|
||||
|
||||
@ -1076,6 +1104,16 @@ def test_daily_statistics(
|
||||
)
|
||||
assert stats == expected_stats
|
||||
|
||||
# Get data with end during the third period
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
start_time=zero,
|
||||
end_time=period6 - timedelta(hours=1),
|
||||
statistic_ids={"test:total_energy_import"},
|
||||
period="day",
|
||||
)
|
||||
assert stats == expected_stats
|
||||
|
||||
# Try to get data for entities which do not exist
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
@ -1106,7 +1144,7 @@ def test_daily_statistics(
|
||||
|
||||
@pytest.mark.parametrize("timezone", ["America/Regina", "Europe/Vienna", "UTC"])
|
||||
@pytest.mark.freeze_time("2022-10-01 00:00:00+00:00")
|
||||
def test_weekly_statistics(
|
||||
def test_weekly_statistics_mean(
|
||||
hass_recorder: Callable[..., HomeAssistant],
|
||||
caplog: pytest.LogCaptureFixture,
|
||||
timezone,
|
||||
@ -1121,7 +1159,7 @@ def test_weekly_statistics(
|
||||
|
||||
zero = dt_util.utcnow()
|
||||
period1 = dt_util.as_utc(dt_util.parse_datetime("2022-10-03 00:00:00"))
|
||||
period2 = dt_util.as_utc(dt_util.parse_datetime("2022-10-09 23:00:00"))
|
||||
period2 = dt_util.as_utc(dt_util.parse_datetime("2022-10-05 23:00:00"))
|
||||
period3 = dt_util.as_utc(dt_util.parse_datetime("2022-10-10 00:00:00"))
|
||||
period4 = dt_util.as_utc(dt_util.parse_datetime("2022-10-16 23:00:00"))
|
||||
|
||||
@ -1129,31 +1167,35 @@ def test_weekly_statistics(
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"state": 0,
|
||||
"sum": 2,
|
||||
"max": 0,
|
||||
"mean": 10,
|
||||
"min": -100,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"state": 1,
|
||||
"sum": 3,
|
||||
"max": 10,
|
||||
"mean": 20,
|
||||
"min": -90,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"state": 2,
|
||||
"sum": 4,
|
||||
"max": 20,
|
||||
"mean": 30,
|
||||
"min": -80,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
"max": 30,
|
||||
"mean": 40,
|
||||
"min": -70,
|
||||
},
|
||||
)
|
||||
external_metadata = {
|
||||
"has_mean": False,
|
||||
"has_sum": True,
|
||||
"has_mean": True,
|
||||
"has_sum": False,
|
||||
"name": "Total imported energy",
|
||||
"source": "test",
|
||||
"statistic_id": "test:total_energy_import",
|
||||
@ -1162,6 +1204,7 @@ def test_weekly_statistics(
|
||||
|
||||
async_add_external_statistics(hass, external_metadata, external_statistics)
|
||||
wait_recording_done(hass)
|
||||
# Get all data
|
||||
stats = statistics_during_period(
|
||||
hass, zero, period="week", statistic_ids={"test:total_energy_import"}
|
||||
)
|
||||
@ -1175,42 +1218,30 @@ def test_weekly_statistics(
|
||||
"start": week1_start.timestamp(),
|
||||
"end": week1_end.timestamp(),
|
||||
"last_reset": None,
|
||||
"state": 1.0,
|
||||
"sum": 3.0,
|
||||
"max": 10,
|
||||
"mean": 15,
|
||||
"min": -100,
|
||||
},
|
||||
{
|
||||
"start": week2_start.timestamp(),
|
||||
"end": week2_end.timestamp(),
|
||||
"last_reset": None,
|
||||
"state": 3.0,
|
||||
"sum": 5.0,
|
||||
"max": 30,
|
||||
"mean": 35,
|
||||
"min": -80,
|
||||
},
|
||||
]
|
||||
}
|
||||
assert stats == expected_stats
|
||||
|
||||
# Get change
|
||||
# Get data starting with start of the first period
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
start_time=period1,
|
||||
statistic_ids={"test:total_energy_import"},
|
||||
period="week",
|
||||
types={"change"},
|
||||
)
|
||||
assert stats == {
|
||||
"test:total_energy_import": [
|
||||
{
|
||||
"start": week1_start.timestamp(),
|
||||
"end": week1_end.timestamp(),
|
||||
"change": 3.0,
|
||||
},
|
||||
{
|
||||
"start": week2_start.timestamp(),
|
||||
"end": week2_end.timestamp(),
|
||||
"change": 2.0,
|
||||
},
|
||||
]
|
||||
}
|
||||
assert stats == expected_stats
|
||||
|
||||
# Get data with start during the first period
|
||||
stats = statistics_during_period(
|
||||
@ -1250,13 +1281,13 @@ def test_weekly_statistics(
|
||||
|
||||
|
||||
@pytest.mark.parametrize("timezone", ["America/Regina", "Europe/Vienna", "UTC"])
|
||||
@pytest.mark.freeze_time("2021-08-01 00:00:00+00:00")
|
||||
def test_monthly_statistics(
|
||||
@pytest.mark.freeze_time("2022-10-01 00:00:00+00:00")
|
||||
def test_weekly_statistics_sum(
|
||||
hass_recorder: Callable[..., HomeAssistant],
|
||||
caplog: pytest.LogCaptureFixture,
|
||||
timezone,
|
||||
) -> None:
|
||||
"""Test monthly statistics."""
|
||||
"""Test weekly statistics."""
|
||||
dt_util.set_default_time_zone(dt_util.get_time_zone(timezone))
|
||||
|
||||
hass = hass_recorder()
|
||||
@ -1265,10 +1296,12 @@ def test_monthly_statistics(
|
||||
assert "Statistics already compiled" not in caplog.text
|
||||
|
||||
zero = dt_util.utcnow()
|
||||
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
|
||||
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
|
||||
period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
|
||||
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
|
||||
period1 = dt_util.as_utc(dt_util.parse_datetime("2022-10-03 00:00:00"))
|
||||
period2 = dt_util.as_utc(dt_util.parse_datetime("2022-10-09 23:00:00"))
|
||||
period3 = dt_util.as_utc(dt_util.parse_datetime("2022-10-10 00:00:00"))
|
||||
period4 = dt_util.as_utc(dt_util.parse_datetime("2022-10-16 23:00:00"))
|
||||
period5 = dt_util.as_utc(dt_util.parse_datetime("2022-10-17 00:00:00"))
|
||||
period6 = dt_util.as_utc(dt_util.parse_datetime("2022-10-23 23:00:00"))
|
||||
|
||||
external_statistics = (
|
||||
{
|
||||
@ -1295,6 +1328,201 @@ def test_monthly_statistics(
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
},
|
||||
{
|
||||
"start": period5,
|
||||
"last_reset": None,
|
||||
"state": 4,
|
||||
"sum": 6,
|
||||
},
|
||||
{
|
||||
"start": period6,
|
||||
"last_reset": None,
|
||||
"state": 5,
|
||||
"sum": 7,
|
||||
},
|
||||
)
|
||||
external_metadata = {
|
||||
"has_mean": False,
|
||||
"has_sum": True,
|
||||
"name": "Total imported energy",
|
||||
"source": "test",
|
||||
"statistic_id": "test:total_energy_import",
|
||||
"unit_of_measurement": "kWh",
|
||||
}
|
||||
|
||||
async_add_external_statistics(hass, external_metadata, external_statistics)
|
||||
wait_recording_done(hass)
|
||||
stats = statistics_during_period(
|
||||
hass, zero, period="week", statistic_ids={"test:total_energy_import"}
|
||||
)
|
||||
week1_start = dt_util.as_utc(dt_util.parse_datetime("2022-10-03 00:00:00"))
|
||||
week1_end = dt_util.as_utc(dt_util.parse_datetime("2022-10-10 00:00:00"))
|
||||
week2_start = dt_util.as_utc(dt_util.parse_datetime("2022-10-10 00:00:00"))
|
||||
week2_end = dt_util.as_utc(dt_util.parse_datetime("2022-10-17 00:00:00"))
|
||||
week3_start = dt_util.as_utc(dt_util.parse_datetime("2022-10-17 00:00:00"))
|
||||
week3_end = dt_util.as_utc(dt_util.parse_datetime("2022-10-24 00:00:00"))
|
||||
expected_stats = {
|
||||
"test:total_energy_import": [
|
||||
{
|
||||
"start": week1_start.timestamp(),
|
||||
"end": week1_end.timestamp(),
|
||||
"last_reset": None,
|
||||
"state": 1.0,
|
||||
"sum": 3.0,
|
||||
},
|
||||
{
|
||||
"start": week2_start.timestamp(),
|
||||
"end": week2_end.timestamp(),
|
||||
"last_reset": None,
|
||||
"state": 3.0,
|
||||
"sum": 5.0,
|
||||
},
|
||||
{
|
||||
"start": week3_start.timestamp(),
|
||||
"end": week3_end.timestamp(),
|
||||
"last_reset": None,
|
||||
"state": 5.0,
|
||||
"sum": 7.0,
|
||||
},
|
||||
]
|
||||
}
|
||||
assert stats == expected_stats
|
||||
|
||||
# Get change
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
start_time=period1,
|
||||
statistic_ids={"test:total_energy_import"},
|
||||
period="week",
|
||||
types={"change"},
|
||||
)
|
||||
assert stats == {
|
||||
"test:total_energy_import": [
|
||||
{
|
||||
"start": week1_start.timestamp(),
|
||||
"end": week1_end.timestamp(),
|
||||
"change": 3.0,
|
||||
},
|
||||
{
|
||||
"start": week2_start.timestamp(),
|
||||
"end": week2_end.timestamp(),
|
||||
"change": 2.0,
|
||||
},
|
||||
{
|
||||
"start": week3_start.timestamp(),
|
||||
"end": week3_end.timestamp(),
|
||||
"change": 2.0,
|
||||
},
|
||||
]
|
||||
}
|
||||
|
||||
# Get data with start during the first period
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
start_time=period1 + timedelta(days=1),
|
||||
statistic_ids={"test:total_energy_import"},
|
||||
period="week",
|
||||
)
|
||||
assert stats == expected_stats
|
||||
|
||||
# Get data with end during the third period
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
start_time=zero,
|
||||
end_time=period6 - timedelta(days=1),
|
||||
statistic_ids={"test:total_energy_import"},
|
||||
period="week",
|
||||
)
|
||||
assert stats == expected_stats
|
||||
|
||||
# Try to get data for entities which do not exist
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
start_time=zero,
|
||||
statistic_ids={"not", "the", "same", "test:total_energy_import"},
|
||||
period="week",
|
||||
)
|
||||
assert stats == expected_stats
|
||||
|
||||
# Use 5minute to ensure table switch works
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
start_time=zero,
|
||||
statistic_ids=["test:total_energy_import", "with_other"],
|
||||
period="5minute",
|
||||
)
|
||||
assert stats == {}
|
||||
|
||||
# Ensure future date has not data
|
||||
future = dt_util.as_utc(dt_util.parse_datetime("2221-11-01 00:00:00"))
|
||||
stats = statistics_during_period(
|
||||
hass, start_time=future, end_time=future, period="week"
|
||||
)
|
||||
assert stats == {}
|
||||
|
||||
dt_util.set_default_time_zone(dt_util.get_time_zone("UTC"))
|
||||
|
||||
|
||||
@pytest.mark.parametrize("timezone", ["America/Regina", "Europe/Vienna", "UTC"])
|
||||
@pytest.mark.freeze_time("2021-08-01 00:00:00+00:00")
|
||||
def test_monthly_statistics_sum(
|
||||
hass_recorder: Callable[..., HomeAssistant],
|
||||
caplog: pytest.LogCaptureFixture,
|
||||
timezone,
|
||||
) -> None:
|
||||
"""Test monthly statistics."""
|
||||
dt_util.set_default_time_zone(dt_util.get_time_zone(timezone))
|
||||
|
||||
hass = hass_recorder()
|
||||
wait_recording_done(hass)
|
||||
assert "Compiling statistics for" not in caplog.text
|
||||
assert "Statistics already compiled" not in caplog.text
|
||||
|
||||
zero = dt_util.utcnow()
|
||||
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
|
||||
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
|
||||
period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
|
||||
period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
|
||||
period5 = dt_util.as_utc(dt_util.parse_datetime("2021-11-01 00:00:00"))
|
||||
period6 = dt_util.as_utc(dt_util.parse_datetime("2021-11-30 23:00:00"))
|
||||
|
||||
external_statistics = (
|
||||
{
|
||||
"start": period1,
|
||||
"last_reset": None,
|
||||
"state": 0,
|
||||
"sum": 2,
|
||||
},
|
||||
{
|
||||
"start": period2,
|
||||
"last_reset": None,
|
||||
"state": 1,
|
||||
"sum": 3,
|
||||
},
|
||||
{
|
||||
"start": period3,
|
||||
"last_reset": None,
|
||||
"state": 2,
|
||||
"sum": 4,
|
||||
},
|
||||
{
|
||||
"start": period4,
|
||||
"last_reset": None,
|
||||
"state": 3,
|
||||
"sum": 5,
|
||||
},
|
||||
{
|
||||
"start": period5,
|
||||
"last_reset": None,
|
||||
"state": 4,
|
||||
"sum": 6,
|
||||
},
|
||||
{
|
||||
"start": period6,
|
||||
"last_reset": None,
|
||||
"state": 5,
|
||||
"sum": 7,
|
||||
},
|
||||
)
|
||||
external_metadata = {
|
||||
"has_mean": False,
|
||||
@ -1314,6 +1542,8 @@ def test_monthly_statistics(
|
||||
sep_end = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
|
||||
oct_start = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
|
||||
oct_end = dt_util.as_utc(dt_util.parse_datetime("2021-11-01 00:00:00"))
|
||||
nov_start = dt_util.as_utc(dt_util.parse_datetime("2021-11-01 00:00:00"))
|
||||
nov_end = dt_util.as_utc(dt_util.parse_datetime("2021-12-01 00:00:00"))
|
||||
expected_stats = {
|
||||
"test:total_energy_import": [
|
||||
{
|
||||
@ -1330,6 +1560,13 @@ def test_monthly_statistics(
|
||||
"state": pytest.approx(3.0),
|
||||
"sum": pytest.approx(5.0),
|
||||
},
|
||||
{
|
||||
"start": nov_start.timestamp(),
|
||||
"end": nov_end.timestamp(),
|
||||
"last_reset": None,
|
||||
"state": 5.0,
|
||||
"sum": 7.0,
|
||||
},
|
||||
]
|
||||
}
|
||||
assert stats == expected_stats
|
||||
@ -1354,6 +1591,11 @@ def test_monthly_statistics(
|
||||
"end": oct_end.timestamp(),
|
||||
"change": 2.0,
|
||||
},
|
||||
{
|
||||
"start": nov_start.timestamp(),
|
||||
"end": nov_end.timestamp(),
|
||||
"change": 2.0,
|
||||
},
|
||||
]
|
||||
}
|
||||
# Get data with start during the first period
|
||||
@ -1365,6 +1607,16 @@ def test_monthly_statistics(
|
||||
)
|
||||
assert stats == expected_stats
|
||||
|
||||
# Get data with end during the third period
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
start_time=zero,
|
||||
end_time=period6 - timedelta(days=1),
|
||||
statistic_ids={"test:total_energy_import"},
|
||||
period="month",
|
||||
)
|
||||
assert stats == expected_stats
|
||||
|
||||
# Try to get data for entities which do not exist
|
||||
stats = statistics_during_period(
|
||||
hass,
|
||||
@ -1394,6 +1646,11 @@ def test_monthly_statistics(
|
||||
"end": oct_end.timestamp(),
|
||||
"sum": pytest.approx(5.0),
|
||||
},
|
||||
{
|
||||
"start": nov_start.timestamp(),
|
||||
"end": nov_end.timestamp(),
|
||||
"sum": pytest.approx(7.0),
|
||||
},
|
||||
]
|
||||
}
|
||||
|
||||
@ -1418,6 +1675,11 @@ def test_monthly_statistics(
|
||||
"end": oct_end.timestamp(),
|
||||
"sum": pytest.approx(5000.0),
|
||||
},
|
||||
{
|
||||
"start": nov_start.timestamp(),
|
||||
"end": nov_end.timestamp(),
|
||||
"sum": pytest.approx(7000.0),
|
||||
},
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user